Use of Data Mining Techniques in Assessing Student and Faculty Needs

Abstract

The aim of this research paper is to use Data Mining Techniques to assess and prioritize the Students and Faculty needs. Students and Faculty form the core part of any Institute or organization and the effectiveness of these institutes depends on meeting their needs. In this study, data is collected from students and faculty from higher education institutes using a closed-ended questionnaire. The focus area of the study is based on providing the services that most likely meet the needs of all the participants. The responses generated help in getting a deep insight into the factors that may lead to enhancing student and faculty satisfaction and decreased student dropout ratio.